Flexible Proof Production in an Industrial-Strength SMT Solver

Haniel Barbosa, Andrew Reynolds, Gereon Kremer, Hanna Lachnitt, Aina Niemetz, Andres Nötzli, Alex Ozdemir, Mathias Preiner, Arjun Viswanathan, Scott Viteri, Yoni Zohar, Cesare Tinelli, and Clark W. Barrett

Published in Automated Reasoning - 11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8-10, 2022, Proceedings, 2022

Recommended citation: Haniel Barbosa, Andrew Reynolds, Gereon Kremer, Hanna Lachnitt, Aina Niemetz, Andres Nötzli, Alex Ozdemir, Mathias Preiner, Arjun Viswanathan, Scott Viteri, Yoni Zohar, Cesare Tinelli, and Clark W. Barrett. “Flexible Proof Production in an Industrial-Strength SMT Solver.” Automated Reasoning - 11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8-10, 2022, Proceedings, 2022. https://doi.org/10.1007/978-3-031-10769-6_3

DOI

BibTeX
@inproceedings{DBLP:conf/cade/BarbosaRKLNNOPV22,
  author       = {Haniel Barbosa and
                  Andrew Reynolds and
                  Gereon Kremer and
                  Hanna Lachnitt and
                  Aina Niemetz and
                  Andres N{\"{o}}tzli and
                  Alex Ozdemir and
                  Mathias Preiner and
                  Arjun Viswanathan and
                  Scott Viteri and
                  Yoni Zohar and
                  Cesare Tinelli and
                  Clark W. Barrett},
  editor       = {Jasmin Blanchette and
                  Laura Kov{\'{a}}cs and
                  Dirk Pattinson},
  title        = {Flexible Proof Production in an Industrial-Strength {SMT} Solver},
  booktitle    = {Automated Reasoning - 11th International Joint Conference, {IJCAR}
                  2022, Haifa, Israel, August 8-10, 2022, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {13385},
  pages        = {15--35},
  publisher    = {Springer},
  year         = {2022},
  url          = {https://doi.org/10.1007/978-3-031-10769-6\_3},
  doi          = {10.1007/978-3-031-10769-6\_3},
  timestamp    = {Wed, 07 Dec 2022 23:12:37 +0100},
  biburl       = {https://dblp.org/rec/conf/cade/BarbosaRKLNNOPV22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}